Highlights Keywords Manufacturing & Engineering, Mechanical Engineering Challenge Uncertainty Quantification with Monte Carlo methods requires drawing many random samples of input parameters, and solving a problem (typically a system of differential equations) numerically for each sample, leading to a substantial increase in energy and time required to obtain a solution. Since the numerical solutions of individual samples are independent of each other, the time-to-solution can be reduced via parallel sample evaluation in a parallel computing … Continue reading Success Story: MLMC-PinT4Data